Polyphase wireless power transfer system achieves 270-kilowatt charge, s...
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
As a teenager, Kat Royston had a lot of questions. Then an advanced-placement class in physics convinced her all the answers were out there.
Scientists at Oak Ridge National Laboratory used a focused beam of electrons to stitch platinum-silicon molecules into graphene, marking the first deliberate insertion of artificial molecules into a graphene host matrix.
Oak Ridge National Laboratory researchers working on neutron imaging capabilities for nuclear materials have developed a process for seeing the inside of uranium particles – without cutting them open.
A software package, 10 years in the making, that can predict the behavior of nuclear reactors’ cores with stunning accuracy has been licensed commercially for the first time.
The techniques Theodore Biewer and his colleagues are using to measure whether plasma has the right conditions to create fusion have been around awhile.
Three technologies and one commercialization program developed at the Department of Energy’s Oak Ridge National Laboratory have won National Technology Transfer Awards from the Federal Laboratory Consortium.
Joe Paddison, a Eugene P. Wigner Fellow at the Department of Energy’s Oak Ridge National Laboratory, believes there’s more information to be found in neutron scattering data than scientists like himself might expect.
OAK RIDGE, Tenn., Feb. 27, 2020 — Researchers at Oak Ridge National Laboratory and the University of Tennessee achieved a rare look at the inner workings of polymer self-assembly at an oil-water interface to advance materials for neuromorphic computing and bio-inspired technologies.
Valentino (“Tino”) Cooper of the Department of Energy’s Oak Ridge National Laboratory uses theory, modeling and computation to improve fundamental understanding of advanced materials for next-generation energy and information technologies.